iPhone 17
Geekbench AI Score
2956
Single Precision Score
27497
Half Precision Score
35915
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 17 2026 07:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone 17 |
| Model ID | iPhone18,3 |
| Motherboard | V57AP |
| CPU Information | |
|---|---|
| Name | Apple A19 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2174
404.3 IPS |
|
|
Image Classification (HP)
|
100% |
14409
2.68 KIPS |
|
|
Image Classification (Q)
|
97% |
22336
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1451
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18177
294.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23155
375.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6338
7.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
129573
151.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
149617
175.4 IPS |
|
|
Object Detection (SP)
|
100% |
1443
114.5 IPS |
|
|
Object Detection (HP)
|
100% |
13181
1.05 KIPS |
|
|
Object Detection (Q)
|
91% |
22887
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
1786
21.2 IPS |
|
|
Face Detection (HP)
|
100% |
24976
296.8 IPS |
|
|
Face Detection (Q)
|
100% |
40626
482.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4558
35.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
59469
458.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
102026
797.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10718
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
195117
250.8 IPS |
|
|
Style Transfer (Q)
|
96% |
294612
380.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4191
154.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56933
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41678
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
2462
3.29 KIPS |
|
|
Text Classification (HP)
|
99% |
4427
5.91 KIPS |
|
|
Text Classification (Q)
|
93% |
4593
6.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1965
33.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7563
130.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8626
149.1 IPS |
